97 search results - page 11 / 20 » Using Machine Learning to Design and Interpret Gene-Expressi... |
EUROGP
2004
Springer
14 years 28 days ago
2004
Springer
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
BMCBI
2007
13 years 7 months ago
2007
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
BMCBI
2010
13 years 2 months ago
2010
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
BMCBI
2008
13 years 7 months ago
2008
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...
BMCBI
2011
13 years 2 months ago
2011
Background: Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamic...